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Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia

Author

Listed:
  • Abrham Belay

    (University of Bonn
    University of Nairobi
    World Agroforestry Centre
    European Forest Institute (EFI))

  • Alisher Mirzabaev

    (University of Bonn)

  • John W. Recha

    (International Livestock Research Institute (ILRI))

  • Christopher Oludhe

    (University of Nairobi)

  • Philip M. Osano

    (World Agroforestry Centre)

  • Zerihun Berhane

    (Addis Ababa University)

  • Lydia A. Olaka

    (University of Nairobi
    The Technical University of Kenya)

  • Yitagesu T. Tegegne

    (European Forest Institute (EFI))

  • Teferi Demissie

    (International Livestock Research Institute (ILRI))

  • Chrispinus Mutsami

    (Intergovernmental Authority on Development)

  • Dawit Solomon

    (International Livestock Research Institute (ILRI))

Abstract

Climate change threatens African countries’ economic development and affects agriculture and food security. Ethiopia is especially vulnerable to the negative effects of climate change because its economy is dependent on climate-sensitive livelihoods that have limited potential for adaptation. Emerging evidence indicates that climate-smart agriculture (CSA) can help smallholder farmers adapt to climate change and increase agricultural productivity, thereby enhancing household income and food security. In the study area, different CSA practices have been adopted to mitigate the negative effects of climate change and improve agricultural productivity, income, and food security. Therefore, this study examines the impact of CSA practices on household income and food security in southern Ethiopia. A total of 385 households were selected using multistage sampling. Primary and secondary data were used, and propensity score matching with different types of matching algorithms, such as nearest neighbor, kernel, and radius matching, was employed to quantify the conditional impacts of CSA intervention on farm income and food security. In comparison with non adopters farmers that have adopted CSA practices had a higher food consumption score between 6.27 and 8.15, which was statistically significant at the 1% level. Overall, 34.55% of interviewed households had acceptable food consumption scores, 44.68% had borderline, and 20.77% had poor food consumption scores. Furthermore, households that adopted CSA practices had a 20.30% higher average annual farm income per hectare than non-adopters. The study suggests that effective extension services, accurate climate information, and sound policy support are required to promote and scale up CSA measures in the study area to improve farmers’ adaptive capacity, farm income, and food security.

Suggested Citation

  • Abrham Belay & Alisher Mirzabaev & John W. Recha & Christopher Oludhe & Philip M. Osano & Zerihun Berhane & Lydia A. Olaka & Yitagesu T. Tegegne & Teferi Demissie & Chrispinus Mutsami & Dawit Solomon, 2024. "Does climate-smart agriculture improve household income and food security? Evidence from Southern Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16711-16738, July.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03307-9
    DOI: 10.1007/s10668-023-03307-9
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    References listed on IDEAS

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    1. Kathleen Brüssow & Anja Faße & Ulrike Grote, 2017. "Implications of climate-smart strategy adoption by farm households for food security in Tanzania," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1203-1218, December.
    2. Meron Tadesse & Belay Simane & Wuletawu Abera & Lulseged Tamene & Gebermedihin Ambaw & John W. Recha & Kindu Mekonnen & Getamesay Demeke & Abebe Nigussie & Dawit Solomon, 2021. "The Effect of Climate-Smart Agriculture on Soil Fertility, Crop Yield, and Soil Carbon in Southern Ethiopia," Sustainability, MDPI, vol. 13(8), pages 1-11, April.
    3. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    4. Belay Kassie & Senthold Asseng & Reimund Rotter & Huib Hengsdijk & Alex Ruane & Martin Ittersum, 2015. "Exploring climate change impacts and adaptation options for maize production in the Central Rift Valley of Ethiopia using different climate change scenarios and crop models," Climatic Change, Springer, vol. 129(1), pages 145-158, March.
    5. Enock Warinda & Dickson M. Nyariki & Stephen Wambua & Reuben Muasya, 2020. "Impact of smallholder farmers’ welfare through participation in on-farm regional projects in East Africa," Agrekon, Taylor & Francis Journals, vol. 59(1), pages 16-29, January.
    6. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    7. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    8. Ayorinde Ogunyiola & Maaz Gardezi & Sumit Vij, 2022. "Smallholder farmers’ engagement with climate smart agriculture in Africa: role of local knowledge and upscaling," Climate Policy, Taylor & Francis Journals, vol. 22(4), pages 411-426, April.
    9. Gazali Issahaku & Awudu Abdulai, 2020. "Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), pages 396-420, April.
    10. Issahaku, Gazali & Abdulai, Awudu, 2020. "Adoption of climate-smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    11. Sascha O. Becker & Marco Caliendo, 2007. "Sensitivity analysis for average treatment effects," Stata Journal, StataCorp LP, vol. 7(1), pages 71-83, February.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    13. Asif Sardar & Adiqa K. Kiani & Yasemin Kuslu, 2021. "Does adoption of climate-smart agriculture (CSA) practices improve farmers’ crop income? Assessing the determinants and its impacts in Punjab province, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10119-10140, July.
    14. Alexis Habiyaremye, 2017. "Estimating the impact of sericulture adoption on farmer income in Rwanda: an application of propensity score matching," Agrekon, Taylor & Francis Journals, vol. 56(3), pages 296-311, July.
    15. Gebeyanesh Zerssa & Debela Feyssa & Dong-Gill Kim & Bettina Eichler-Löbermann, 2021. "Challenges of Smallholder Farming in Ethiopia and Opportunities by Adopting Climate-Smart Agriculture," Agriculture, MDPI, vol. 11(3), pages 1-26, February.
    16. Chanyalew Seyoum Aweke & Edward Lahiff & Jemal Yousuf Hassen, 2020. "The contribution of agriculture to household dietary diversity: evidence from smallholders in East Hararghe, Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(3), pages 625-636, June.
    17. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    18. Robert B. Zougmoré & Peter Läderach & Bruce M. Campbell, 2021. "Transforming Food Systems in Africa under Climate Change Pressure: Role of Climate-Smart Agriculture," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    19. DiPrete, Thomas A. & Gangl, Markus, 2004. "Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments," Discussion Papers, Research Unit: Labor Market Policy and Employment SP I 2004-101, WZB Berlin Social Science Center.
    20. Makaiko G. Khonje & Julius Manda & Petros Mkandawire & Adane Hirpa Tufa & Arega D. Alene, 2018. "Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 599-609, September.
    21. Khonje, Makaiko & Mkandawire, Petros & Manda, Julius & Alene, Arega, 2015. "Analysis of adoption and impacts of improved cassava varieties," 2015 Conference, August 9-14, 2015, Milan, Italy 211842, International Association of Agricultural Economists.
    22. Shamsheer ul Haq & Ismet Boz & Pomi Shahbaz, 2021. "Adoption of climate-smart agriculture practices and differentiated nutritional outcome among rural households: a case of Punjab province, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 913-931, August.
    23. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
    24. Mwongera, Caroline & Shikuku, Kelvin M. & Twyman, Jennifer & Läderach, Peter & Ampaire, Edidah & Van Asten, Piet & Twomlow, Steve & Winowiecki, Leigh A., 2017. "Climate smart agriculture rapid appraisal (CSA-RA): A tool for prioritizing context-specific climate smart agriculture technologies," Agricultural Systems, Elsevier, vol. 151(C), pages 192-203.
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